A 3rdparty TVM compatible issue when building from the source.

[Lurkrazy]

Hi Lei, I built it from the source code:

git clone --recursive https://github.com/tile-ai/tilelang.git
cd tilelang
conda create -n tilelang
conda activate tilelang
conda install python=3.10
python -m pip install .

I have llvm14 locally, and it works with TVM v17. I'm not sure why it has to download LLVM 10, but I will try to use my local TVM.

(tilelang) chendi@Workspace:~/hdd/git/tilelang$ llvm-config --version
14.0.0

Errors:

      -- Build with CUDA  support
      -- Use llvm-config=/home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config
      /home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config: error while loading shared libraries: libtinfo.so.5: cannot open shared object file: No such file or directory
      CMake Error at 3rdparty/tvm/cmake/utils/FindLLVM.cmake:80 (message):
        Fatal error executing:
        /home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config
        --libfiles
      Call Stack (most recent call first):
        3rdparty/tvm/cmake/modules/LLVM.cmake:31 (find_llvm)
        3rdparty/tvm/CMakeLists.txt:596 (include)
      
      
      -- Configuring incomplete, errors occurred!
      Downloading clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz from https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz
      Extracting clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz to 3rdparty
      Download and extraction completed successfully.
      Traceback (most recent call last):
        File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
          main()
        File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
        File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 251, in build_wheel
          return _build_backend().build_wheel(wheel_directory, config_settings,
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 438, in build_wheel
          return _build(['bdist_wheel', '--dist-info-dir', str(metadata_directory)])
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 426, in _build
          return self._build_with_temp_dir(
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 407, in _build_with_temp_dir
          self.run_setup()
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 320, in run_setup
          exec(code, locals())
        File "<string>", line 434, in <module>
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/__init__.py", line 117, in setup
          return distutils.core.setup(**attrs)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 186, in setup
          return run_commands(dist)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/core.py", line 202, in run_commands
          dist.run_commands()
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 983, in run_commands
          self.run_command(cmd)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/dist.py", line 999, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1002, in run_command
          cmd_obj.run()
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/command/bdist_wheel.py", line 379, in run
          self.run_command("build")
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 339, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/dist.py", line 999, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1002, in run_command
          cmd_obj.run()
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/command/build.py", line 136, in run
          self.run_command(cmd_name)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 339, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/dist.py", line 999, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1002, in run_command
          cmd_obj.run()
        File "<string>", line 204, in run
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/cmd.py", line 339, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/dist.py", line 999, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-7kmlbp1k/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py", line 1002, in run_command
          cmd_obj.run()
        File "<string>", line 388, in run
        File "<string>", line 427, in build_cmake
        File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/subprocess.py", line 369, in check_call
          raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['cmake', '/home/chendi/hdd/git/tilelang', '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=/home/chendi/hdd/git/tilelang/build/lib.linux-x86_64-cpython-310', '-DPYTHON_EXECUTABLE=/home/chendi/miniconda3/envs/tilelang/bin/python3.10']' returned non-zero exit status 1.

[LeiWang1999]

@Lurkrazy thank you for reporting this! we'll have a test on our end. would you mind first checkout install_cuda.sh in your environment and let us know if there still exist issues?

[Lurkrazy]

@Lurkrazy thank you for reporting this! we'll have a test on our end. would you mind first checkout install_cuda.sh in your environment and let us know if there still exist issues?

Hi @LeiWang1999 , thanks for the quick response, it still triggers the same issue:

(tilelang) chendi@Workspace:~/hdd/git/tilelang$ bash install_cuda.sh 
Starting installation script...
Installing Python requirements from requirements.txt...
Collecting cmake>=3.26 (from -r requirements.txt (line 2))
  Using cached cmake-3.31.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB)
Collecting cffi (from -r requirements.txt (line 4))
  Using cached cffi-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting cpplint (from -r requirements.txt (line 5))
  Using cached cpplint-2.0.0-py3-none-any.whl.metadata (4.9 kB)
Collecting Cython (from -r requirements.txt (line 6))
  Using cached Cython-3.0.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.2 kB)
Collecting decorator (from -r requirements.txt (line 7))
  Using cached decorator-5.1.1-py3-none-any.whl.metadata (4.0 kB)
Collecting docutils (from -r requirements.txt (line 8))
  Using cached docutils-0.21.2-py3-none-any.whl.metadata (2.8 kB)
Collecting dtlib (from -r requirements.txt (line 9))
  Using cached dtlib-0.0.0.dev2-py3-none-any.whl.metadata (1.8 kB)
Collecting numpy>=1.23.5 (from -r requirements.txt (line 10))
  Using cached numpy-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (62 kB)
Collecting pytest>=6.2.4 (from -r requirements.txt (line 11))
  Using cached pytest-8.3.4-py3-none-any.whl.metadata (7.5 kB)
Collecting pytest_xdist>=2.2.1 (from -r requirements.txt (line 12))
  Using cached pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
Collecting packaging>=21.0 (from -r requirements.txt (line 13))
  Using cached packaging-24.2-py3-none-any.whl.metadata (3.2 kB)
Collecting PyYAML (from -r requirements.txt (line 14))
  Using cached PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)
Collecting tqdm>=4.62.3 (from -r requirements.txt (line 15))
  Using cached tqdm-4.67.1-py3-none-any.whl.metadata (57 kB)
Collecting typing_extensions>=4.10.0 (from -r requirements.txt (line 16))
  Using cached typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)
Collecting requests (from -r requirements.txt (line 17))
  Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB)
Requirement already satisfied: attrs in /home/chendi/.local/lib/python3.10/site-packages (from -r requirements.txt (line 18)) (23.2.0)
Collecting cloudpickle (from -r requirements.txt (line 19))
  Using cached cloudpickle-3.1.1-py3-none-any.whl.metadata (7.1 kB)
Collecting ml_dtypes (from -r requirements.txt (line 20))
  Using cached ml_dtypes-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (21 kB)
Collecting psutil (from -r requirements.txt (line 21))
  Using cached psutil-6.1.1-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (22 kB)
Collecting scipy (from -r requirements.txt (line 22))
  Using cached scipy-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
Collecting tornado (from -r requirements.txt (line 23))
  Using cached tornado-6.4.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.5 kB)
Collecting torch (from -r requirements.txt (line 24))
  Using cached torch-2.5.1-cp310-cp310-manylinux1_x86_64.whl.metadata (28 kB)
Collecting thefuzz (from -r requirements.txt (line 25))
  Using cached thefuzz-0.22.1-py3-none-any.whl.metadata (3.9 kB)
Collecting tabulate (from -r requirements.txt (line 26))
  Using cached tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
Collecting pycparser (from cffi->-r requirements.txt (line 4))
  Using cached pycparser-2.22-py3-none-any.whl.metadata (943 bytes)
Collecting exceptiongroup>=1.0.0rc8 (from pytest>=6.2.4->-r requirements.txt (line 11))
  Using cached exceptiongroup-1.2.2-py3-none-any.whl.metadata (6.6 kB)
Collecting iniconfig (from pytest>=6.2.4->-r requirements.txt (line 11))
  Using cached iniconfig-2.0.0-py3-none-any.whl.metadata (2.6 kB)
Collecting pluggy<2,>=1.5 (from pytest>=6.2.4->-r requirements.txt (line 11))
  Using cached pluggy-1.5.0-py3-none-any.whl.metadata (4.8 kB)
Collecting tomli>=1 (from pytest>=6.2.4->-r requirements.txt (line 11))
  Using cached tomli-2.2.1-py3-none-any.whl.metadata (10 kB)
Collecting execnet>=2.1 (from pytest_xdist>=2.2.1->-r requirements.txt (line 12))
  Using cached execnet-2.1.1-py3-none-any.whl.metadata (2.9 kB)
Collecting charset-normalizer<4,>=2 (from requests->-r requirements.txt (line 17))
  Using cached charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (35 kB)
Collecting idna<4,>=2.5 (from requests->-r requirements.txt (line 17))
  Using cached idna-3.10-py3-none-any.whl.metadata (10 kB)
Collecting urllib3<3,>=1.21.1 (from requests->-r requirements.txt (line 17))
  Using cached urllib3-2.3.0-py3-none-any.whl.metadata (6.5 kB)
Collecting certifi>=2017.4.17 (from requests->-r requirements.txt (line 17))
  Using cached certifi-2024.12.14-py3-none-any.whl.metadata (2.3 kB)
Collecting filelock (from torch->-r requirements.txt (line 24))
  Using cached filelock-3.16.1-py3-none-any.whl.metadata (2.9 kB)
Collecting networkx (from torch->-r requirements.txt (line 24))
  Using cached networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)
Collecting jinja2 (from torch->-r requirements.txt (line 24))
  Using cached jinja2-3.1.5-py3-none-any.whl.metadata (2.6 kB)
Collecting fsspec (from torch->-r requirements.txt (line 24))
  Using cached fsspec-2024.12.0-py3-none-any.whl.metadata (11 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cublas-cu12==12.4.5.8 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cufft-cu12==11.2.1.3 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-curand-cu12==10.3.5.147 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-nccl-cu12==2.21.5 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvtx-cu12==12.4.127 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch->-r requirements.txt (line 24))
  Using cached nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Collecting triton==3.1.0 (from torch->-r requirements.txt (line 24))
  Using cached triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.3 kB)
Collecting sympy==1.13.1 (from torch->-r requirements.txt (line 24))
  Using cached sympy-1.13.1-py3-none-any.whl.metadata (12 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch->-r requirements.txt (line 24))
  Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Collecting rapidfuzz<4.0.0,>=3.0.0 (from thefuzz->-r requirements.txt (line 25))
  Using cached rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch->-r requirements.txt (line 24))
  Using cached MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)
Using cached cmake-3.31.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)
Using cached cffi-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (446 kB)
Using cached cpplint-2.0.0-py3-none-any.whl (78 kB)
Using cached Cython-3.0.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)
Using cached docutils-0.21.2-py3-none-any.whl (587 kB)
Using cached dtlib-0.0.0.dev2-py3-none-any.whl (52 kB)
Using cached numpy-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.4 MB)
Using cached pytest-8.3.4-py3-none-any.whl (343 kB)
Using cached pytest_xdist-3.6.1-py3-none-any.whl (46 kB)
Using cached packaging-24.2-py3-none-any.whl (65 kB)
Using cached PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB)
Using cached tqdm-4.67.1-py3-none-any.whl (78 kB)
Using cached typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Using cached requests-2.32.3-py3-none-any.whl (64 kB)
Using cached cloudpickle-3.1.1-py3-none-any.whl (20 kB)
Using cached ml_dtypes-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB)
Using cached psutil-6.1.1-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (287 kB)
Using cached scipy-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.6 MB)
Using cached tornado-6.4.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (437 kB)
Using cached torch-2.5.1-cp310-cp310-manylinux1_x86_64.whl (906.4 MB)
Using cached nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB)
Using cached nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (13.8 MB)
Using cached nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (24.6 MB)
Using cached nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (883 kB)
Using cached nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)
Using cached nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl (211.5 MB)
Using cached nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB)
Using cached nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB)
Using cached nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB)
Using cached nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB)
Using cached nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)
Using cached nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (99 kB)
Using cached sympy-1.13.1-py3-none-any.whl (6.2 MB)
Using cached triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (209.5 MB)
Using cached thefuzz-0.22.1-py3-none-any.whl (8.2 kB)
Using cached tabulate-0.9.0-py3-none-any.whl (35 kB)
Using cached certifi-2024.12.14-py3-none-any.whl (164 kB)
Using cached charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (146 kB)
Using cached exceptiongroup-1.2.2-py3-none-any.whl (16 kB)
Using cached execnet-2.1.1-py3-none-any.whl (40 kB)
Using cached idna-3.10-py3-none-any.whl (70 kB)
Using cached pluggy-1.5.0-py3-none-any.whl (20 kB)
Using cached rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)
Using cached tomli-2.2.1-py3-none-any.whl (14 kB)
Using cached urllib3-2.3.0-py3-none-any.whl (128 kB)
Using cached filelock-3.16.1-py3-none-any.whl (16 kB)
Using cached fsspec-2024.12.0-py3-none-any.whl (183 kB)
Using cached iniconfig-2.0.0-py3-none-any.whl (5.9 kB)
Using cached jinja2-3.1.5-py3-none-any.whl (134 kB)
Using cached networkx-3.4.2-py3-none-any.whl (1.7 MB)
Using cached pycparser-2.22-py3-none-any.whl (117 kB)
Using cached MarkupSafe-3.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB)
Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)
Installing collected packages: mpmath, cpplint, urllib3, typing_extensions, tqdm, tornado, tomli, tabulate, sympy, rapidfuzz, PyYAML, pycparser, psutil, pluggy, packaging, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, MarkupSafe, iniconfig, idna, fsspec, filelock, execnet, exceptiongroup, dtlib, docutils, decorator, Cython, cmake, cloudpickle, charset-normalizer, certifi, triton, thefuzz, scipy, requests, pytest, nvidia-cusparse-cu12, nvidia-cudnn-cu12, ml_dtypes, jinja2, cffi, pytest_xdist, nvidia-cusolver-cu12, torch
Successfully installed Cython-3.0.11 MarkupSafe-3.0.2 PyYAML-6.0.2 certifi-2024.12.14 cffi-1.17.1 charset-normalizer-3.4.1 cloudpickle-3.1.1 cmake-3.31.4 cpplint-2.0.0 decorator-5.1.1 docutils-0.21.2 dtlib-0.0.0.dev2 exceptiongroup-1.2.2 execnet-2.1.1 filelock-3.16.1 fsspec-2024.12.0 idna-3.10 iniconfig-2.0.0 jinja2-3.1.5 ml_dtypes-0.5.1 mpmath-1.3.0 networkx-3.4.2 numpy-2.2.2 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.4.127 packaging-24.2 pluggy-1.5.0 psutil-6.1.1 pycparser-2.22 pytest-8.3.4 pytest_xdist-3.6.1 rapidfuzz-3.11.0 requests-2.32.3 scipy-1.15.1 sympy-1.13.1 tabulate-0.9.0 thefuzz-0.22.1 tomli-2.2.1 torch-2.5.1 tornado-6.4.2 tqdm-4.67.1 triton-3.1.0 typing_extensions-4.12.2 urllib3-2.3.0
Python requirements installed successfully.
LLVM version set to 10.0.1.
Is AARCH64 architecture: false
Ubuntu version for LLVM set to 16.04.
Download URL for LLVM: https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz
Creating extraction directory at 3rdparty...
Extraction directory created successfully.
Downloading clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz from https://github.com/llvm/llvm-project/releases/download/llvmorg-10.0.1/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz...
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
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  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100  363M  100  363M    0     0  92.3M      0  0:00:03  0:00:03 --:--:--  111M
Download completed successfully.
Extracting clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04.tar.xz to 3rdparty...
Extraction completed successfully.
LLVM config path determined as: /home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config
Cloning TVM repository and initializing submodules...
Configuring TVM build with LLVM and CUDA paths...
Running CMake for TileLang...
-- The C compiler identification is GNU 12.3.0
-- The CXX compiler identification is GNU 12.3.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Building TVM from source at /home/chendi/hdd/git/tilelang/3rdparty/tvm
-- Hide private symbols...
-- Forbidding undefined symbols in shared library, using -Wl,--no-undefined on platform Linux
-- Build with RPC support...
-- Build with Graph Executor support...
-- Build with profiler...
-- Build with AOT Executor support...
-- Could NOT find GTest (missing: GTEST_LIBRARY GTEST_INCLUDE_DIR GTEST_MAIN_LIBRARY) 
-- Build Alloc alignment set to 64
-- Didn't find the path to CCACHE, disabling ccache
-- Performing Test SUPPORT_CXX17
-- Performing Test SUPPORT_CXX17 - Success
-- VTA build with VTA_HW_PATH=/home/chendi/hdd/git/tilelang/3rdparty/tvm/3rdparty/vta-hw
-- Build VTA runtime with target: sim
-- Custom CUDA_PATH=/usr/local/cuda
-- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda
-- Found CUDA_CUDA_LIBRARY=/usr/local/cuda/targets/x86_64-linux/lib/stubs/libcuda.so
-- Found CUDA_CUDART_LIBRARY=/usr/lib/x86_64-linux-gnu/libcudart.so
-- Found CUDA_NVRTC_LIBRARY=/usr/local/cuda/lib64/libnvrtc.so
-- Found CUDA_CUDNN_INCLUDE_DIRS=
-- Found CUDA_CUDNN_LIBRARY=
-- Found CUDA_CUBLAS_LIBRARY=/usr/local/cuda/lib64/libcublas.so
-- Found CUDA_CURAND_LIBRARY=/usr/local/cuda/lib64/libcurand.so
-- Found CUDA_CUBLASLT_LIBRARY=/usr/local/cuda/lib64/libcublasLt.so
-- Found CUDA_NVTX_LIBRARY=/usr/local/cuda/lib64/libnvToolsExt.so
-- Found CUDA_nvToolsExt_LIBRARY=
-- Build with CUDA  support
-- The CUDA compiler identification is NVIDIA 11.5.119 with host compiler GNU 11.4.0
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - failed
-- Check for working CUDA compiler: /usr/bin/nvcc
-- Check for working CUDA compiler: /usr/bin/nvcc - works
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- Use llvm-config=/home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config
/home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config: error while loading shared libraries: libtinfo.so.5: cannot open shared object file: No such file or directory
CMake Error at 3rdparty/tvm/cmake/utils/FindLLVM.cmake:80 (message):
  Fatal error executing:
  /home/chendi/hdd/git/tilelang/3rdparty/clang+llvm-10.0.1-x86_64-linux-gnu-ubuntu-16.04/bin/llvm-config
  --libfiles
Call Stack (most recent call first):
  3rdparty/tvm/cmake/modules/LLVM.cmake:31 (find_llvm)
  3rdparty/tvm/CMakeLists.txt:596 (include)


-- Configuring incomplete, errors occurred!
Error: CMake configuration failed.

[Lurkrazy]

Hi @LeiWang1999 , I've compiled it with my own TVM, I used CUDA12 and LLVM14 with TVM v0.17.0,

However I can't find the path tilelang/python to set up the PYTHONPATH. I tried to use $PYTHONPATH=/home/chendi/hdd/git/tilelang/tilelang, but still got:

(tilelang) chendi@Workspace:~/hdd/git/tilelang$ echo $PYTHONPATH
/home/chendi/hdd/git/tilelang/tilelang
(tilelang) chendi@Workspace:~/hdd/git/tilelang$ echo $TVM_IMPORT_PYTHON_PATH
/home/chendi/git/tvm/python
(tilelang) chendi@Workspace:~/hdd/git/tilelang$ python -c "import tilelang; print(tilelang.__version__)"  
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/chendi/hdd/git/tilelang/tilelang/__init__.py", line 106, in <module>
    _LIB, _LIB_PATH = _load_tile_lang_lib()
  File "/home/chendi/hdd/git/tilelang/tilelang/__init__.py", line 101, in _load_tile_lang_lib
    return ctypes.CDLL(lib_path[0]), lib_path[0]
  File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/ctypes/__init__.py", line 374, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /home/chendi/hdd/git/tilelang/build/libtilelang_module.so: undefined symbol: _ZN3tvm3tir11StmtVisitor10VisitStmt_EPKNS0_18CustomizedCodeNodeE

[LeiWang1999]

n

likely due to some issues with environment, I cannot reproduce on my machine, would you mind checkout the docker directory to build a container?

[LeiWang1999]

Hi @LeiWang1999 , I've compiled it with my own TVM, I used CUDA12 and LLVM14 with TVM v0.17.0,

However I can't find the path tilelang/python to set up the PYTHONPATH. I tried to use $PYTHONPATH=/home/chendi/hdd/git/tilelang/tilelang, but still got:

(tilelang) chendi@Workspace:~/hdd/git/tilelang$ echo $PYTHONPATH
/home/chendi/hdd/git/tilelang/tilelang
(tilelang) chendi@Workspace:~/hdd/git/tilelang$ echo $TVM_IMPORT_PYTHON_PATH
/home/chendi/git/tvm/python
(tilelang) chendi@Workspace:~/hdd/git/tilelang$ python -c "import tilelang; print(tilelang.__version__)"  
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/chendi/hdd/git/tilelang/tilelang/__init__.py", line 106, in <module>
    _LIB, _LIB_PATH = _load_tile_lang_lib()
  File "/home/chendi/hdd/git/tilelang/tilelang/__init__.py", line 101, in _load_tile_lang_lib
    return ctypes.CDLL(lib_path[0]), lib_path[0]
  File "/home/chendi/miniconda3/envs/tilelang/lib/python3.10/ctypes/__init__.py", line 374, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /home/chendi/hdd/git/tilelang/build/libtilelang_module.so: undefined symbol: _ZN3tvm3tir11StmtVisitor10VisitStmt_EPKNS0_18CustomizedCodeNodeE

@Lurkrazy Compiled with upstream tvm is not fully tested yet, we will soon test this installation method.

[Lurkrazy]

n

likely due to some issues with environment, I cannot reproduce on my machine, would you mind checkout the docker directory to build a container?

Sure, I'll try it and keep you updated tomorrow, thanks.

[janEbert]

Hey, I'm encountering the same issue with libtinfo.so.5 when using the NGC PyTorch 24.12 container and python -m pip install -e . or install_cuda.sh. Its libtinfo version seems to be higher than the desired one. I guess building/installing an earlier version of libtinfo would be an idea for users facing this issue?

[Lurkrazy]

Hey, I'm encountering the same issue with libtinfo.so.5 when using the NGC PyTorch 24.12 container and python -m pip install -e . or install_cuda.sh. Its libtinfo version seems to be higher than the desired one. I guess building/installing an earlier version of libtinfo would be an idea for users facing this issue?

Hi @janEbert could you try to build from the source to see if it works?

[janEbert]

I'm not sure when I find the time to build it, sorry. :)
I suppose you could try apt install libtinfo5, if you can modify your container. I don't have that luxury sadly.

[LeiWang1999]

Thanks for your reporting @janEbert ! It looks like pip install -e . in develop mode is not fully implemented in setup.py, I'll take a look into this issue, and for installation on a bare environment, the absence of library libtinfo5 is a common issue for projects that depends on llvm, I think one good automatic solution is to download prebuilt libraries during installation or we point out the apt dependencies on the documents.

In the meantime, you can check out the Docker environments in the docker directory of have a try with pip install tilelang from pypi.

[janEbert]

Thanks for your effort! I'll let you know if I manage to install it with pre-built libraries. Sadly, the Wheel doesn't fit my Python version (3.12 ≠ 3.10). :)

[LeiWang1999]

@janEbert The installing command pip install -e . was previously dispatched to python setup.py develop in old python setuptools. However this has changed, pr #81 made a fix, you can checkout the latest installation tutorial:

# install required system dependencies
sudo apt-get update
sudo apt-get install -y python3-setuptools gcc libtinfo-dev zlib1g-dev build-essential cmake libedit-dev libxml2-dev

pip install .  # with -e option if you want to install in editable mode

Sorry for the inconvenience.

[LeiWang1999]

Thanks for your effort! I'll let you know if I manage to install it with pre-built libraries. Sadly, the Wheel doesn't fit my Python version (3.12 ≠ 3.10). :)

Thanks for reporting this! We're working on providing more prebuilt packages for different Python versions. However, I'd be surprised if the prebuilt package from PyPI couldn't be installed with pip install tilelang. Let us know if you run into any issues!